Evidence map›Paper›PMID 25931581›Full record

ReviewJournal of diabetes science and technology2015

Hypo- and Hyperglycemic Alarms: Devices and Algorithms.

Daniel Howsmon, B Wayne Bequette

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Blood glucose estimation based on ECG signal.Physical and engineering sciences in medicine · 2023
    Article
  8. Six Digital Health Technologies That Will Transform Diabetes.Journal of diabetes science and technology · 2023
    Article
  9. Review
  10. Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction.Journal of diabetes science and technology · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Daniel HowsmonDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
B Wayne BequetteDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA bequette@rpi.edu.
Rensselaer Polytechnic Institute · US

Funding

A probabilistic closed-loop artificial pancreas to handle unannounced meals R01DK102188 · NIDDK · RENSSELAER POLYTECHNIC INSTITUTE · PI BEQUETTE, B. WAYNE, BUCKINGHAM, BRUCE A · 2014 to 2016
$1.0M
NIDDK NIH HHS 1R01DK102188-01NIDDK NIH HHS R01 DK102188
6 · The paper itself

Abstract

Soon after the discovery that insulin regulates blood glucose by Banting and Best in 1922, the symptoms and risks associated with hypoglycemia became widely recognized. This article reviews devices to warn individuals of impending hypo- and hyperglycemia; biosignals used by these devices include electroencephalography, electrocardiography, skin galvanic resistance, diabetes alert dogs, and continuous glucose monitors (CGMs). While systems based on other technology are increasing in performance and decreasing in size, CGM technology remains the best method for both reactive and predictive alarming of hypo- or hyperglycemia.

Indexed as

AlgorithmsBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1HumansHyperglycemiaHypoglycemiaMonitoring, AmbulatoryBlood Glucosealarm systemscontinuous glucose monitoringhypoglycemialow glucose suspend

Identifiers

PMID25931581
PMCPMC4667339
OpenAlexW2123438692

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.